IP Library Granted Patent US 12,058,178
Granted Patent B2
US 12,058,178 · App. 17/330,893 · Granted Aug 6, 2024

Privilege assurance of enterprise computer network environments using logon session tracking and logging

Inventors: Jason Crabtree (Vienna, VA); Andrew Sellers (Monument, CO); Richard Kelley (Woodbridge, VA)
Assignee: QOMPLX LLC
H04L63/20G06F16/2477G06F16/951H04L63/1425H04L63/1441
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Quick Facts
Patent No.
US 12,058,178
App. No.
17/330,893
Granted
Aug 6, 2024
Kind
B2
Abstract

A system and method for the prevention, mitigation, and detection of cyberattack attacks on computer networks using logon session tracking and logging. The system uses local session monitors to monitor logon sessions within a network, track session details, and generate an event log for any suspicious sessions or details. Cyber-physical graphs and histograms using persisted time-series data provides critical information, patterns, and alerts about configurations, attack vectors, and vulnerabilities which enable information technology and cybersecurity professionals greater leverage and control over their infrastructure.

Claims (45)

1. A system for prevention, mitigation, and detection of cyberattack attacks on computer networks using logon session tracking and logging, comprising:

a local session monitor comprising a first plurality of programming instructions stored in a memory of, and operating on a processor of, a first computing device within a computer network operating a directory access protocol, wherein the first plurality of programming instructions, when operating on the processor of the first computing device, cause the first computing device to:

receive a first plurality of session-based details for an authentication session for a user;

check the validity of the first plurality of session-based details, using a stored session configuration;

log the first plurality of session-based details; receive a second plurality of session details;

compare the first and second pluralities of session details to identify any mismatched data;

where invalid or mismatched information is identified in the first or second pluralities of session-based details, generate an event log indicating the particular session-based details that contain the invalid or mismatched information;

send the event log to a graph engine;

a graph engine comprising a second plurality of programming instructions stored in a memory of, and operating on a processor of, a second computing device, wherein the second plurality of programming instructions, when operating on the processor of the second computing device, cause the second computing device to:

receive the event log;

create and store a cyber-physical graph of the computer network using the event log, wherein the vertices of the cyber-physical graph represent directory access protocol objects and the edges of the cyber-physical graph represent the relationships between those objects;

perform a plurality of queries over time on the cyber-physical graph about a cyberattack parameter of interest;

receive results of the plurality of queries; and

send the results to a time-series rule comparator;

a time-series rule comparator comprising a third plurality of programming instructions stored in a memory of, and operating on a processor of, a third computing device, wherein the third plurality of programming instructions, when operating on the processor, cause the third computing device to:

receive the results from the graph engine;

measure changes over time in the results;

if the measurement of the changes over time exceeds a threshold, send the results to a user interface; and

a user interface comprising a fourth plurality of programming instructions stored in a memory of, and operating on a processor of, a fourth computing device, wherein the fourth plurality of programming instructions, when operating on the processor, cause the fourth computing device to:

receive the results;

identify the directory access protocol objects and relationships which caused the measurement of changes to exceed the threshold; and

display a portion of the cyber-physical graph comprising the vertices and edges corresponding to the identified directory access protocol objects and relationships.

2. The system of claim 1 , wherein the first plurality of session-based details comprises a session expiration timing information.

3. The system of claim 2 , wherein the invalid information comprises invalid expiration timing information.

4. The system of claim 1 , wherein the first plurality of session-based details comprises a user name.

5. The system of claim 4 , wherein the mismatched information comprises a user name that does not correspond to the user of the authentication session.

6. A method for prevention, mitigation, and detection of cyberattack attacks on computer networks using logon session tracking and logging, comprising the steps of:

collecting, at a local session monitor, a first plurality of session-based details for an authentication session for a user;

checking the validity of the first plurality of session-based details, using a stored session configuration;

logging the first plurality of session-based details;

receiving a second plurality of session details;

comparing the first and second pluralities of session details to identify any mismatched data;

where invalid or mismatched information is identified in the first or second pluralities of session-based details, generating an event log indicating the particular session-based details that contain the invalid or mismatched information;

sending the event log to a graph engine;

creating and storing a cyber-physical graph of the computer network using the event log, wherein the vertices of the cyber-physical graph represent directory access protocol objects and the edges of the cyber-physical graph represent the relationships between those objects;

performing a plurality of queries over time on the cyber-physical graph about a cyberattack parameter of interest;

receiving results of the plurality of queries;

measure changes over time in the results;

if the measurement of the changes over time exceeds a threshold, sending the results to a user interface;

identifying the directory access protocol objects and relationships which caused the measurement of changes to exceed the threshold; and

displaying, on the user interface, a portion of the cyber-physical graph comprising the vertices and edges corresponding to the identified directory access protocol objects and relationships.

7. The method of claim 6 , wherein the first plurality of session-based details comprises a session expiration timing information.

8. The method of claim 7 , wherein the invalid information comprises invalid expiration timing information.

9. The method of claim 6 , wherein the first plurality of session-based details comprises a user name.

10. The method of claim 9 , wherein the mismatched information comprises a user name that does not correspond to the user of the authentication session.

Assignments (5)
CHANGE OF ADDRESS Recorded Oct 1, 2024
From: QOMPLX LLC
To: QOMPLX LLC
Reel/Frame 069083/0279 →
CHANGE OF NAME Recorded Sep 27, 2023
From: QPX LLC
To: QOMPLX LLC
Reel/Frame 065036/0449 →
CORRECTIVE ASSIGNMENT TO CORRECT THE RECEIVING PARTY PREVIOUSLY RECORDED AT REEL: 064674 FRAME: 0408. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Sep 20, 2023
From: QOMPLX, INC.
To: QPX LLC
Reel/Frame 064966/0863 →
PATENT ASSIGNMENT AGREEMENT TO ASSET PURCHASE AGREEMENT Recorded Aug 23, 2023
From: QOMPLX, INC.
To: QPX, LLC.
Reel/Frame 064674/0407 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 28, 2023
From: CRABTREE, JASON; SELLERS, ANDREW; KELLEY, RICHARD
To: QOMPLX, INC.
Reel/Frame 064427/0528 →
Continuity (55)
Continuation In Part 17008276 · Aug 31, 2020
Continuation In Part 17000504 · Aug 24, 2020
Continuation In Part 16855724 · Apr 22, 2020
Continuation In Part 16836717 · Mar 31, 2020
Continuation In Part 15887496 · Feb 2, 2018
Continuation In Part 15823285 · Nov 27, 2017
Continuation In Part 15788718 · Oct 19, 2017
Continuation In Part 15788002 · Oct 19, 2017
Continuation In Part 15787601 · Oct 18, 2017
Continuation In Part 15616427 · Jun 7, 2017
Continuation In Part 14925974 · Oct 28, 2015
Continuation In Part 15818733 · Nov 20, 2017
Continuation In Part 15725274 · Oct 4, 2017
Continuation In Part 15655113 · Jul 20, 2017
Continuation In Part 15616427 · Jun 7, 2017
Continuation In Part 15237625 · Aug 15, 2016
Continuation In Part 15206195 · Jul 8, 2016
Continuation In Part 15186453 · Jun 18, 2016
Continuation In Part 15166158 · May 26, 2016
Continuation In Part 15141752 · Apr 28, 2016
Continuation In Part 15091563 · Apr 5, 2016
Continuation In Part 14986536 · Dec 31, 2015
Continuation In Part 14925974 · Oct 28, 2015
Continuation In Part 16777270 · Jan 30, 2020
Continuation In Part 16720383 · Dec 19, 2019
Continuation 15823363 · Nov 27, 2017
Continuation In Part 15725274 · Oct 4, 2017
Continuation In Part 16412340 · May 14, 2019
Continuation In Part 16267893 · Feb 5, 2019
Continuation In Part 16248133 · Jan 15, 2019
Continuation In Part 15849901 · Dec 21, 2017
Continuation In Part 15835436 · Dec 7, 2017
Continuation In Part 15790457 · Oct 23, 2017
Continuation In Part 15790327 · Oct 23, 2017
Continuation In Part 15616427 · Jun 7, 2017
Continuation In Part 15141752 · Apr 28, 2016
Continuation In Part 15835312 · Dec 7, 2017
Continuation In Part 15186453 · Jun 18, 2016
Continuation In Part 15813097 · Nov 14, 2017
Continuation In Part 15616427 · Jun 7, 2017
Continuation In Part 15806697 · Nov 8, 2017
Continuation In Part 15376657 · Dec 13, 2016
Continuation In Part 15237625 · Aug 15, 2016
Continuation In Part 15343209 · Nov 4, 2016
Continuation In Part 15237625 · Aug 15, 2016
Continuation In Part 15229476 · Aug 5, 2016
Continuation In Part 15206195 · Jul 8, 2016
Continuation In Part 15673368 · Aug 9, 2017
Continuation In Part 15376657 · Dec 13, 2016
Provisional Application 62568312 · Oct 4, 2017
Provisional Application 62568305 · Oct 4, 2017
Provisional Application 62568307 · Oct 4, 2017
Provisional Application 62568291 · Oct 4, 2017
Provisional Application 62568298 · Oct 4, 2017
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